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| author |  Yifei Feng <yifeif@google.com> | 2018-05-24 19:12:26 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-05-24 19:15:01 -0700 |
| commit | b59833c3fd91511b33255369016868e4ae6cda2e (patch) | |
| tree | ecbd70cfd3abb5d934f6eb4b7280a35e8589f5cf /tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md | |
| parent | 2b99d9cbc7166efedaff9eee11744348da30fc8a (diff) | |
Merge changes from github.
Revert #18413. Too many internal test failures due to the name scope change caused by this change.
Revert #18192. Cannot use re2::StringPiece internally. Need alternative for set call. Will pull and clean this up in a separate change.
PiperOrigin-RevId: 197991247
Diffstat (limited to 'tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md')
| -rw-r--r-- | tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md b/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md index 495014c6fc..7680cdd344 100644 --- a/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md +++ b/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md @@ -115,7 +115,7 @@ bazel run --config=opt \ In order to evaluate the possible benefit of generating a quantized graph, TOCO allows "dummy-quantization" on float graphs. The flags `--default_ranges_min` -and `--default_ranges_max` accept plausable values for the min-max ranges of the +and `--default_ranges_max` accept plausible values for the min-max ranges of the values in all arrays that do not have min-max information. "Dummy-quantization" will produce lower accuracy but will emulate the performance of a correctly quantized model. @@ -338,7 +338,7 @@ below outline the use cases for each. ### Using `--output_format=GRAPHVIZ_DOT` The first way to get a graphviz rendering is to pass `GRAPHVIZ_DOT` into -`--output_format`. This results in a plausable visualization of the graph. This +`--output_format`. This results in a plausible visualization of the graph. This reduces the requirements that normally exist during conversion between other input and output formats. For example, this may be useful if conversion from TENSORFLOW_GRAPHDEF to TFLITE is failing. |